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anext bank

Singapore / Global

Data Infrastructure & Data Quality Lead

Job Description

We're on a mission to make financial services accessible and effortless for SMEs. As one of Singapore's latest digital wholesale banks fully regulated by MAS, we're committed to continuous innovation to bring about simpler, safer and more rewarding financial services. #bringingaboutwhatsnext

We are looking for a Data Infrastructure & Data Quality Lead to own and elevate the data foundation that powers our bank-wide Analytics, AI, Model, and Reporting capabilities.

As a fast-growing digital bank, our product suite and systems are evolving quickly — and so must our data backbone. We need a leader who can sit at the intersection of business strategy and technical architecture, ensuring our Enterprise Data Infrastructure, Business Datamart, and E2E data pipelines remain the accurate, trusted source of truth for the entire organization.

Job Responsibilities

Own the bank's data platform architecture and its reliability end-to-end

Build and lead the bank-wide Data Quality Control Framework, including issue monitoring and mitigation SOPs

Translate business logic into data architecture — bridging technical system design with business-driven syntax for seamless downstream consumption

Lead data engineers and system developers in delivering data quality management functions in line with MAS data management guidelines and internal data policy

Shape the bank's forward-looking data strategy and capability roadmap

Drive cross-functional synergy between local Data Product teams and offshore Data Engineering teams

Champion data adoption across business functions through high-quality, low-friction data sources

Act as the gatekeeper for consistent, bank-wide data definitions

Requirements

Bachelor's degree in Computer Science, Business, Mathematics, AI, or related field

8+ years in enterprise data / data platform leadership, ideally within banking or regulated financial services

Strong grasp of data management lifecycle, data architecture, data quality, and metadata management

Proven experience managing senior stakeholders and navigating cross-team conflicts

Track record of driving teams and initiatives independently

Excellent communication and interpersonal skills

Analytical, results-driven mindset — comfortable making sound judgment calls amid ambiguity

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